JobSync

JobSync is an AI-powered platform designed to streamline and enhance the job application process for both students and placement teams.
It provides instant, data-driven feedback on resume-to-job-description compatibility — turning a historically manual and opaque process into an efficient and transparent experience.

🔗 Try it Live Here!

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About the Project
This project was built for the Code 5 Edu-Tech Hackathon as a solution for Theme 2.

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How It Works

JobSync is built on a modern, decoupled architecture, making it scalable and reliable.
It consists of two main components:

Frontend (Streamlit)

• User-friendly interface for students and placement teams
• Students can upload resumes and get instant compatibility feedback
• Placement teams get a dashboard to manage job descriptions and evaluate candidates

Backend (FastAPI)

• High-performance API for all the heavy lifting
• Handles resume & JD parsing, compatibility scoring, and detailed feedback
• Independent deployment for smooth scalability

Decoupled Deployment: A surge in frontend traffic won’t slow down backend evaluations

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Key Features

• ✅ Instant Resume Evaluation → Compatibility score + verdict (High, Medium, Low)
• ✅ Actionable Feedback → Concrete suggestions to improve resumes (skills, projects, etc.)
• ✅ Placement Team Dashboard → Upload JDs, evaluate candidates, filter & export results
• ✅ Scalable Architecture → Independent scaling of backend & frontend services
• ✅ AI-Ready → Future integration with LLM-powered semantic analysis for deeper matching

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Tech Stack

• Frontend: Streamlit
• Backend: FastAPI
• Parsing: pdfplumber, python-docx
• Other Dependencies: requests, numpy, uvicorn, python-multipart
• Hosting:
  • Frontend → Streamlit Cloud
  • Backend → Render

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Demo Video

https://youtu.be/7uriBW7_CN0

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Deployment Strategy

• Backend (FastAPI):

  • Deployed on Render using render.yaml blueprint
  • Auto-scales to handle incoming requests

• Frontend (Streamlit):

  • Deployed on Vercel / Streamlit Cloud
  • Connects to live backend using environment variable BACKEND_URL

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Getting Started Locally

To run JobSync locally, make sure you have Python + conda installed.

1. Clone the Repository

git clone https://github.com/Devashish-Mishra-2003/job_sync.git
cd job_sync 

2️. Set up Environment

conda create -n resume_env python=3.10
conda activate resume_env
pip install -r requirements.txt

3️. Run the Backend

uvicorn backend.main:app --reload --host 0.0.0.0 --port 8000

4️. Run the Frontend

streamlit run app.py

Your app will now be available in your browser — ready to use!

Future Enhancements

• AI-powered semantic matching with embeddings/LLMs

• Advanced analytics dashboard for placement teams

• Collaboration tools for students & recruiters

Author

Devashish Mishra